Entanglement raises the Fisher effective dimension of parameterized quantum circuits, producing a PAC-Bayes generalization bound that correctly ranks circuits of identical parameter count by their train-test gap.
Rodriguez-Grasa, M
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Classical light training of photonic quantum reservoirs enables accurate model-free estimation of single-qubit observables and two-qubit entanglement witnesses on unseen quantum states.
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Entanglement as a Structural Complexity Axis: A PAC-Bayesian View of Generalization in Quantum Policies and Value Functions
Entanglement raises the Fisher effective dimension of parameterized quantum circuits, producing a PAC-Bayes generalization bound that correctly ranks circuits of identical parameter count by their train-test gap.
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Efficient classical training of model-free quantum photonic reservoir
Classical light training of photonic quantum reservoirs enables accurate model-free estimation of single-qubit observables and two-qubit entanglement witnesses on unseen quantum states.